@langchain/langgraph-sdk
v0.0.22
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Client library for interacting with the LangGraph API
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LangGraph JS/TS SDK
This repository contains the JS/TS SDK for interacting with the LangGraph REST API.
Quick Start
To get started with the JS/TS SDK, install the package
yarn add @langchain/langgraph-sdk
You will need a running LangGraph API server. If you're running a server locally using langgraph-cli
, SDK will automatically point at http://localhost:8123
, otherwise
you would need to specify the server URL when creating a client.
import { Client } from "@langchain/langgraph-sdk";
const client = new Client();
// List all assistants
const assistants = await client.assistants.search({
metadata: null,
offset: 0,
limit: 10,
});
// We auto-create an assistant for each graph you register in config.
const agent = assistants[0];
// Start a new thread
const thread = await client.threads.create();
// Start a streaming run
const messages = [{ role: "human", content: "what's the weather in la" }];
const streamResponse = client.runs.stream(
thread["thread_id"],
agent["assistant_id"],
{
input: { messages },
}
);
for await (const chunk of streamResponse) {
console.log(chunk);
}
Documentation
To generate documentation, run the following commands:
Generate docs.
yarn typedoc
Consolidate doc files into one markdown file.
npx concat-md --decrease-title-levels --ignore=js_ts_sdk_ref.md --start-title-level-at 2 docs > docs/js_ts_sdk_ref.md
Copy
js_ts_sdk_ref.md
to MkDocs directory.cp docs/js_ts_sdk_ref.md ../../docs/docs/cloud/reference/sdk/js_ts_sdk_ref.md